Power grid field operator health monitoring system

Abstract

The invention provides a power grid field operator health monitoring system, which is characterized in that the system comprises a monitoring information acquisition subsystem and a monitoring information management subsystem, and the monitoring information acquisition subsystem performs data interaction with the monitoring information management subsystem through a network. According to the power grid field operation personnel health monitoring system provided by the invention, through the monitoring information acquisition subsystem and the monitoring information management subsystem, physical state data and psychological state data of the power grid field operation personnel during field work are acquired and processed, and a health report is formed for reference of a user and a manager; therefore, a management department can reasonably allocate work according to physical and psychological health states of power grid field operation personnel.

Description

Technical Field

[0001] The present invention relates to the technical field of health monitoring, and in particular to a health monitoring system for power grid field workers. Background Art

[0002] The working environment conditions of grid field operations are often difficult. Under long-term high-voltage working environment, the physical and mental health of grid field operators will be seriously affected, which in turn affects the on-site work of grid field operators. Therefore, health monitoring is very necessary for grid field operators. However, the current health monitoring system only pays attention to the physical health of users, while for grid field operators in high-voltage working environment, mental health status cannot be ignored. Therefore, there is an urgent need for a health monitoring system that pays attention to the mental health of grid field operators on the basis of paying attention to the physical health of grid field operators. Summary of the invention

[0003] In view of this, the purpose of the present invention is to provide a health monitoring system for power grid field workers, which collects and processes the physical and psychological state data of power grid field workers when working on site through a monitoring information collection subsystem and a monitoring information management subsystem, and forms health reports for reference by users and managers, so that the management department can reasonably allocate work according to the physical and mental health status of the power grid field workers.

[0004] To achieve the above-mentioned purpose, the present invention provides a health monitoring system for power grid field workers, the system comprising a monitoring information collection subsystem and a monitoring information management subsystem, the monitoring information collection subsystem exchanges data with the monitoring information management subsystem via a network,

[0005] The monitoring information collection subsystem is used to collect the user's identity information and physical and mental health status information during work, and transmit the collected identity information and physical and mental health status information to the monitoring information management subsystem;

[0006] The monitoring information management subsystem is used to confirm the user's identity information, classify the health status information, and process the classified health status information according to the user's identity information, and generate a health status report for reference after the work is completed.

[0007] Preferably, the physical and mental health status information includes physical health status information and mental health status information.

[0008] It should be noted that the monitoring information collection subsystem includes a camera and a smart bracelet, and the camera and the smart bracelet both interact with the monitoring information management subsystem through the network.

[0009] The camera is used to input the user's facial image and transmit it to the monitoring information management subsystem for face recognition, record the user's facial expression during the work process in real time, and transmit the video data to the monitoring information management subsystem for analysis and processing after the work is completed;

[0010] The smart bracelet is used to monitor heart rate, blood oxygen, body temperature and blood pressure in real time during work, and transmit the monitoring data to the monitoring information management subsystem.

[0011] It should be noted that the monitoring information management subsystem includes a face recognition module, a user database, a personal expression database, a first processing module, a second processing module, and a report module.

[0012] The camera exchanges data with the face recognition module through the network, the face recognition module is connected to the first processing module data, each user data in the user database is associated with a personal expression database, the user database and the personal expression database are connected to the first processing module data, the face recognition module is connected to the user database data, the second processing module is connected to the smart bracelet data, the first processing module and the second processing module are connected to the report unit data, the face recognition module is connected to the smart bracelet data,

[0013] The face recognition module is used to perform face recognition on the portrait data transmitted by the camera, and transmit the recognition result to the first processing module, and start the smart bracelet at the same time;

[0014] The user database is used to store user identity data;

[0015] The personal expression database is used to store the personal expression data entered in advance by the user;

[0016] The first processing module is used to perform identity recognition on the face image according to the face recognition module and the user database, and based on the personal expression data in the personal expression database, perform feature extraction and expression matching on each frame of the facial expression image of the collected video, perform mental health qualification assessment, and send the assessment result to the report module;

[0017] The second processing module is used to receive data transmitted by the smart bracelet, and to perform health qualification assessment on heart rate monitoring, blood oxygen monitoring, body temperature monitoring, and blood pressure monitoring according to medical standards, and to send the assessment results to the report module.

[0018] The report module is used to generate a work process health monitoring report according to the evaluation results transmitted by the first processing module and the second processing module.

[0019] It should be further explained that the personal expression data is classified according to a first expression category and a second expression category, the expression attributes of the first expression category include calmness and happiness, and the expression attributes of the second expression category include sadness, fear, anger, and disgust.

[0020] It should be noted that the user enters personal expression data into the personal expression database in advance according to expression attributes, and the expression attributes are calm, happy, sad, fearful, angry, and disgusted.

[0021] It should be further explained that the first processing module extracts features and matches facial expression for each frame of the collected video based on the personal expression data in the personal expression database, and the specific steps of evaluating the mental health qualification are as follows:

[0022] A01, the first processing module performs feature extraction and expression matching on each frame of facial expression image of the collected video based on the personal expression data in the personal expression database;

[0023] A02, counting expression matching results of each frame of facial expression graphics, and counting the number of times the expression of the second expression category appears;

[0024] A03. Evaluate the statistical results. When the number of times the expression of the second expression category appears is greater than half of the number of frames, the mental health state is assessed to be abnormal. When the number of times the expression of the second expression category appears is less than or equal to half of the number of frames, the mental health state is assessed to be normal.

[0025] A04. The first processing module transmits the evaluation result to the reporting module.

[0026] Preferably, the monitoring information management subsystem further includes a push module, and the push module is data-connected with the report module.

[0027] The push module is used to send the work process health monitoring report to the background terminal for reference by users and management departments.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] The present invention provides a health monitoring system for power grid field workers. The system collects and processes the physical and mental state data of power grid field workers when they are working on site through a monitoring information collection subsystem and a monitoring information management subsystem, and forms a health report for reference by users and managers, so that the management department can reasonably allocate work according to the physical and mental health status of the power grid field workers. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0031] Figure 1 It is a schematic diagram of the overall structure of a power grid field worker health monitoring system provided by an embodiment of the present invention.

[0032] Figure 2 It is a specific step diagram of the first processing module provided by the embodiment of the present invention, which extracts features and matches expressions for each frame of facial expression image in the collected video based on the personal expression data in the personal expression database, and conducts mental health qualification assessment.

[0033] In the figure: 1- monitoring information collection subsystem; 2- monitoring information management subsystem; 3- camera; 4- smart bracelet; 5- face recognition module; 6- user database; 7- personal expression database; 8- first processing module; 9- second processing module; 10- report module; 11- push module. DETAILED DESCRIPTION

[0034] The principles and features of the present invention are described below in conjunction with the accompanying drawings. The enumerated embodiments are only used to explain the present invention and are not used to limit the scope of the present invention.

[0035] Reference Figure 1 This embodiment provides a health monitoring system for power grid field workers. The system includes a monitoring information collection subsystem 1 and a monitoring information management subsystem 2. The monitoring information collection subsystem 1 exchanges data with the monitoring information management subsystem 2 through a network.

[0036] The monitoring information collection subsystem 1 is used to collect the user's identity information and physical and mental health status information during work, and transmit the collected identity information and physical and mental health status information to the monitoring information management subsystem 2;

[0037] The monitoring information management subsystem 2 is used to confirm the user's identity information, classify the health status information, and process the classified health status information according to the user's identity information, and generate a health status report for reference after the work is completed.

[0038] Preferably, the physical and mental health status information includes physical health status information and mental health status information.

[0039] It should be noted that the monitoring information collection subsystem 1 includes a camera 3 and a smart bracelet 4. The camera 3 and the smart bracelet 4 both interact with the monitoring information management subsystem 2 through the network.

[0040] The camera 3 is used to input the user's face image and transmit it to the monitoring information management subsystem 2 for face recognition, real-time video recording of the user's facial expression during the work process, and transmit the video data to the monitoring information management subsystem 2 for analysis and processing after the work is completed;

[0041] The smart bracelet 4 is used to monitor heart rate, blood oxygen, body temperature and blood pressure in real time during work, and transmit the monitoring data to the monitoring information management subsystem 2.

[0042] It should be noted that the monitoring information management subsystem 2 includes a face recognition module 5, a user database 6, a personal expression database 7, a first processing module 8, a second processing module 9, and a report module 10.

[0043] The camera 3 exchanges data with the face recognition module 5 through the network, the face recognition module 5 is data-connected with the first processing module 8, each user data in the user database 6 is associated with a personal expression database 7, the user database 6 and the personal expression database 7 are data-connected with the first processing module 8, the face recognition module 5 is data-connected with the user database 6, the second processing module 9 is data-connected with the smart bracelet 4, the first processing module 8 and the second processing module 9 are data-connected with the report unit 10 respectively, the face recognition module 5 is data-connected with the smart bracelet 4,

[0044] The face recognition module 5 is used to perform face recognition on the portrait data transmitted by the camera 3, and transmit the recognition result to the first processing module 8, and start the smart bracelet 4 at the same time;

[0045] The user database 6 is used to store user identity data;

[0046] The personal expression database 7 is used to store the personal expression data entered in advance by the user;

[0047] The first processing module 8 is used to identify the face image according to the face recognition module 5 and the user database 6, and extract features and match expressions for each frame of facial expression image of the collected video based on the personal expression data of the personal expression database 7, perform mental health qualification assessment, and send the assessment result to the report module 10;

[0048] The second processing module 9 is used to receive the data transmitted by the smart bracelet 4, and perform health qualification assessment on heart rate monitoring, blood oxygen monitoring, body temperature monitoring, and blood pressure monitoring according to medical standards, and send the assessment results to the report module 10.

[0049] The report module 10 is used to generate a work process health monitoring report according to the evaluation results transmitted by the first processing module 8 and the second processing module 9.

[0050] It should be further explained that the personal expression data is classified according to a first expression category and a second expression category, the expression attributes of the first expression category include calmness and happiness, and the expression attributes of the second expression category include sadness, fear, anger, and disgust.

[0051] It should be noted that the user enters personal expression data into the personal expression database in advance according to expression attributes, and the expression attributes are calm, happy, sad, fearful, angry, and disgusted.

[0052] Reference Figure 2 The first processing module 8 extracts features and matches facial expression for each frame of the collected video based on the personal expression data in the personal expression database 7, and the specific steps of evaluating the mental health qualification are as follows:

[0053] A01, the first processing module 8 performs feature extraction and expression matching on each frame of facial expression image of the collected video based on the personal expression data of 7 in the personal expression database;

[0054] A02, counting expression matching results of each frame of facial expression graphics, and counting the number of times the expression of the second expression category appears;

[0055] A03. Evaluate the statistical results. When the number of times the expression of the second expression category appears is greater than half of the number of frames, the mental health state is assessed to be abnormal. When the number of times the expression of the second expression category appears is less than or equal to half of the number of frames, the mental health state is assessed to be normal.

[0056] A04. The first processing module 8 transmits the evaluation result to the reporting module 10.

[0057] Preferably, the monitoring information management subsystem 2 further includes a push module 11, and the push module 11 is data-connected with the report module 10.

[0058] The push module 11 is used to send the work process health monitoring report to the background terminal for reference by users and management departments.

[0059] When the grid field operator is preparing for field work, the camera 3 will first record the user's face image. After entering the face image, the face recognition module 5 recognizes the face image based on the data in the user database 6 and starts the smart bracelet 4. At this time, the smart bracelet 4 monitors the heart rate, blood oxygen, body temperature and blood pressure of the grid field operator who is working on site in real time, and transmits the body monitoring data to the second processing module 9. The second processing module 9, according to medical standards, respectively evaluates the physical health qualification of heart rate monitoring, blood oxygen monitoring, body temperature monitoring and blood pressure monitoring, and sends the evaluation results to the report module 10.

[0060] It should be noted that the results of heart rate monitoring, blood oxygen monitoring, body temperature monitoring, and blood pressure monitoring are compared with medical standards. If the monitoring result of a certain indicator does not meet the medical standards, the monitoring of that indicator is unqualified.

[0061] At the same time, the camera 3 records the user's facial expressions during the work process in real time, and transmits the video data to the first processing module 8 after the work is completed. The first processing module 8 performs feature extraction and expression matching on each frame of facial expression images of the collected video based on the personal expression data in the personal expression database 7; after the matching is completed, the first processing module 8 counts the expression matching results of each frame of facial expression graphics, and counts the number of expression occurrences of the second expression category; then the first processing module 8 evaluates the statistical results, when the number of expression occurrences of the second expression category is greater than half of the number of frames, the mental health state is assessed to be abnormal, and when the number of expression occurrences of the second expression category is less than or equal to half of the number of frames, the mental health state is assessed to be normal; then, the first processing module 8 transmits the evaluation results to the report module 10.

[0062] It should be noted that the personal expression database 7 is used to store personal expression data entered in advance by users. Users (i.e., power grid field workers) need to enter personal expression data corresponding to the six major expression attributes: calm, happy, sad, fearful, angry, and disgusted in advance to facilitate subsequent expression matching.

[0063] It should be noted that the personal expression data is classified according to a first expression category and a second expression category. The expression attributes of the first expression category include calmness and happiness, and the expression attributes of the second expression category include sadness, fear, anger, and disgust.

[0064] It should be noted that when the first processing module 8 performs feature extraction and expression matching on each frame of facial expression image in the collected video based on the personal expression data in the personal expression database 7, image processing algorithms and models such as the expression recognition LDTP algorithm can be used for feature extraction and expression matching.

[0065] Finally, the report module 10 forms a work process health monitoring report based on the psychological health qualification assessment results transmitted by the first processing module 8 and the physical health qualification assessment results transmitted by the second processing module 9. The push module 11 is used to send the work process health monitoring report to the background terminal for reference by users and management departments. When subsequently allocating on-site work tasks, the management department can make appropriate work arrangements based on the work process health monitoring report of the power grid field workers, taking into account the physical health and psychological health conditions of the power grid field workers.

[0066] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A health monitoring system for power grid field workers, characterized in that: The system includes a monitoring information collection subsystem and a monitoring information management subsystem. The monitoring information collection subsystem exchanges data with the monitoring information management subsystem through a network. The monitoring information collection subsystem is used to collect the user's identity information and physical and mental health status information during work, and transmit the collected identity information and physical and mental health status information to the monitoring information management subsystem; The monitoring information management subsystem is used to confirm the user's identity information, classify the health status information, and process the classified health status information according to the user's identity information, and generate a health status report for reference after the work is completed.

2. A power grid field worker health monitoring system according to claim 1, characterized in that: The physical and mental health status information includes physical health status information and mental health status information.

3. A power grid field worker health monitoring system according to claim 2, characterized in that: The monitoring information collection subsystem includes a camera and a smart bracelet, and the camera and the smart bracelet both interact with the monitoring information management subsystem through the network. The camera is used to input the user's facial image and transmit it to the monitoring information management subsystem for face recognition, record the user's facial expression during the work process in real time, and transmit the video data to the monitoring information management subsystem for analysis and processing after the work is completed; The smart bracelet is used to monitor heart rate, blood oxygen, body temperature and blood pressure in real time during work, and transmit the monitoring data to the monitoring information management subsystem.

4. A health monitoring system for power grid field workers according to claim 3, characterized in that: The monitoring information management subsystem includes a face recognition module, a user database, a personal expression database, a first processing module, a second processing module, and a report module. The camera exchanges data with the face recognition module through the network, the face recognition module is connected to the first processing module data, each user data in the user database is associated with a personal expression database, the user database and the personal expression database are connected to the first processing module data, the face recognition module is connected to the user database data, the second processing module is connected to the smart bracelet data, the first processing module and the second processing module are connected to the report unit data, the face recognition module is connected to the smart bracelet data, The face recognition module is used to perform face recognition on the portrait data transmitted by the camera, and transmit the recognition result to the first processing module, and start the smart bracelet at the same time; The user database is used to store user identity data; The personal expression database is used to store the personal expression data entered in advance by the user; The first processing module is used to perform identity recognition on the face image according to the face recognition module and the user database, and based on the personal expression data in the personal expression database, perform feature extraction and expression matching on each frame of the facial expression image of the collected video, perform mental health qualification assessment, and send the assessment result to the report module; The second processing module is used to receive data transmitted by the smart bracelet, and to perform health qualification assessment on heart rate monitoring, blood oxygen monitoring, body temperature monitoring, and blood pressure monitoring according to medical standards, and to send the assessment results to the report module. The report module is used to generate a work process health monitoring report according to the evaluation results transmitted by the first processing module and the second processing module.

5. A health monitoring system for power grid field workers according to claim 4, characterized in that: The personal expression data is classified according to a first expression category and a second expression category, the expression attributes of the first expression category include calmness and happiness, and the expression attributes of the second expression category include sadness, fear, anger, and disgust.

6. A health monitoring system for power grid field workers according to claim 5, characterized in that: The user enters the personal expression data into the personal expression database in advance according to the expression attributes, wherein the expression attributes are calm, happy, sad, fearful, angry, and disgusted.

7. A health monitoring system for power grid field workers according to claim 6, characterized in that: The first processing module extracts features and matches facial expression images of each frame of the collected video based on the personal expression data in the personal expression database, and the specific steps of evaluating the mental health qualification are as follows: A01, the first processing module performs feature extraction and expression matching on each frame of facial expression image of the collected video based on the personal expression data in the personal expression database; A02, counting expression matching results of each frame of facial expression graphics, and counting the number of times the expression of the second expression category appears; A03. Evaluate the statistical results. When the number of times the expression of the second expression category appears is greater than half of the number of frames, the mental health state is assessed to be abnormal. When the number of times the expression of the second expression category appears is less than or equal to half of the number of frames, the mental health state is assessed to be normal. A04. The first processing module transmits the evaluation result to the reporting module.

8. A health monitoring system for power grid field workers according to claim 7, characterized in that: The monitoring information management subsystem also includes a push module, which is connected to the report module data. The push module is used to send the result report to the backend terminal for reference by users and management departments.

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